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論文リスト

doi title author source_title year
2173 10.1002/path.5310 Artificial Intelligence In Digital Pathology: A Roadmap To Routine Use In Clinical Practice The Journal Of Pathology 2019
2174 10.1002/path.5331 Computational Pathology Definitions, Best Practices, And Recommendations For Regulatory Guidance: A White Paper From The Digital Pathology Association The Journal Of Pathology 2019
10146 10.1016/s0140-6736(19)32998-8 Deep Learning For Prediction Of Colorectal Cancer Outcome: A Discovery And Validation Study Skrede, Ole-Johan; De Raedt, Sepp; Kleppe, Andreas; Hveem, Tarjei S; Liestol, Knut; Maddison, John; Askautrud, Hanne A; Pradhan, Manohar; Nesheim, John Arne; Albregtsen, Fritz; Farstad, Inger Nina; Domingo, Enric; Church, David N; Nesbakken, Arild; Shepherd, Neil A; Tomlinson, Ian; Kerr, Rachel; Novelli, Marco; Kerr, David J; Danielsen, Havard E The Lancet 2020
10289 10.1016/s1470-2045(19)30154-8 Digital Pathology And Artificial Intelligence Niazi, Muhammad Khalid Khan; Parwani, Anil V; Gurcan, Metin N The Lancet Oncology 2019
10314 10.1016/s1470-2045(19)30738-7 Artificial Intelligence For Diagnosis And Grading Of Prostate Cancer In Biopsies: A Population-Based, Diagnostic Study Strom, Peter; Kartasalo, Kimmo; Olsson, Henrik; Solorzano, Leslie; Delahunt, Brett; Berney, Daniel M; Bostwick, David G; Evans, Andrew J; Grignon, David J; Humphrey, Peter A; Iczkowski, Kenneth A; Kench, James G; Kristiansen, Glen; Van Der Kwast, Theodorus H; Leite, Katia R M; Mckenney, Jesse K; Oxley, Jon; Pan, Chin-Chen; Samaratunga, Hemamali; Srigley, John R; Takahashi, Hiroyuki; Tsuzuki, Toyonori; Varma, Murali; Zhou, Ming; Lindberg, Johan; Lindskog, Cecilia; Ruusuvuori, Pekka; Wahlby, Carolina; Gronberg, Henrik; Rantalainen, Mattias; Egevad, Lars; Eklund, Martin The Lancet Oncology 2020
10315 10.1016/s1470-2045(19)30739-9 Automated Deep-Learning System For Gleason Grading Of Prostate Cancer Using Biopsies: A Diagnostic Study Bulten, Wouter; Pinckaers, Hans; Van Boven, Hester; Vink, Robert; De Bel, Thomas; Van Ginneken, Bram; Van Der Laak, Jeroen; Hulsbergen-Van De Kaa, Christina; Litjens, Geert The Lancet Oncology 2020
12643 10.1038/s41379-019-0205-0 Whole Slide Imaging Equivalency And Efficiency Study: Experience At A Large Academic Center Hanna, Matthew G., 0000-0002-7536-1746; Reuter, Victor E.; Hameed, Meera R.; Tan, Lee K.; Chiang, Sarah; Sigel, Carlie; Hollmann, Travis, 0000-0003-1599-0433; Giri, Dilip; Samboy, Jennifer; Moradel, Carlos; Rosado, Andrea; Otilano, John R.; England, Christine; Corsale, Lorraine; Stamelos, Evangelos; Yagi, Yukako; Schuffler, Peter J.; Fuchs, Thomas; Klimstra, David S.; Sirintrapun, S. Joseph Modern Pathology 2019
13350 10.1038/s41467-020-17678-4 A Deep Learning Model To Predict Rna-Seq Expression Of Tumours From Whole Slide Images Schmauch, Benoit, 0000-0002-9478-6395; Romagnoni, Alberto; Pronier, Elodie; Saillard, Charlie; Maille, Pascale; Calderaro, Julien; Kamoun, Aurelie, 0000-0001-8403-1944; Sefta, Meriem; Toldo, Sylvain; Zaslavskiy, Mikhail; Clozel, Thomas, 0000-0002-9781-8938; Moarii, Matahi; Courtiol, Pierre; Wainrib, Gilles Nature Communications 2020
13941 10.1038/s41571-019-0252-y Bera, Kaustav, 0000-0001-9831-6000; Schalper, Kurt A.; Rimm, David L., 0000-0001-5820-4397; Velcheti, Vamsidhar; Madabhushi, Anant Nature Reviews Clinical Oncology 2019
14654 10.1038/s41591-018-0177-5 Classification And Mutation Prediction From Non<U+2013>Small Cell Lung Cancer Histopathology Images Using Deep Learning Coudray, Nicolas, 0000-0002-6050-2219; Ocampo, Paolo Santiago; Sakellaropoulos, Theodore; Narula, Navneet; Snuderl, Matija; Fenyo, David; Moreira, Andre L.; Razavian, Narges, 0000-0002-9922-6370; Tsirigos, Aristotelis, 0000-0002-7512-8477 Nature Medicine 2018
14685 10.1038/s41591-019-0462-y Deep Learning Can Predict Microsatellite Instability Directly From Histology In Gastrointestinal Cancer Kather, Jakob Nikolas, 0000-0002-3730-5348; Pearson, Alexander T.; Halama, Niels, 0000-0003-0344-6027; Jager, Dirk; Krause, Jeremias, 0000-0001-9915-7400; Loosen, Sven H.; Marx, Alexander; Boor, Peter, 0000-0001-9921-4284; Tacke, Frank; Neumann, Ulf Peter; Grabsch, Heike I., 0000-0001-9520-6228; Yoshikawa, Takaki; Brenner, Hermann; Chang-Claude, Jenny; Hoffmeister, Michael; Trautwein, Christian; Luedde, Tom, 0000-0002-6288-8821 Nature Medicine 2019
14690 10.1038/s41591-019-0508-1 Clinical-Grade Computational Pathology Using Weakly Supervised Deep Learning On Whole Slide Images Campanella, Gabriele; Hanna, Matthew G.; Geneslaw, Luke; Miraflor, Allen; Werneck Krauss Silva, Vitor; Busam, Klaus J.; Brogi, Edi; Reuter, Victor E.; Klimstra, David S.; Fuchs, Thomas J., 0000-0001-7603-8687 Nature Medicine 2019
14697 10.1038/s41591-019-0583-3 Deep Learning-Based Classification Of Mesothelioma Improves Prediction Of Patient Outcome Courtiol, Pierre; Maussion, Charles; Moarii, Matahi; Pronier, Elodie; Pilcer, Samuel; Sefta, Meriem; Manceron, Pierre; Toldo, Sylvain; Zaslavskiy, Mikhail; Le Stang, Nolwenn, 0000-0001-9522-6552; Girard, Nicolas; Elemento, Olivier; Nicholson, Andrew G.; Blay, Jean-Yves, 0000-0001-7190-120X; Galateau-Salle, Francoise; Wainrib, Gilles; Clozel, Thomas, 0000-0002-9781-8938 Nature Medicine 2019
14932 10.1038/s41746-019-0112-2 Development And Validation Of A Deep Learning Algorithm For Improving Gleason Scoring Of Prostate Cancer Nagpal, Kunal; Foote, Davis; Liu, Yun; Chen, Po-Hsuan Cameron; Wulczyn, Ellery; Tan, Fraser; Olson, Niels; Smith, Jenny L.; Mohtashamian, Arash; Wren, James H.; Corrado, Greg S.; Macdonald, Robert; Peng, Lily H.; Amin, Mahul B.; Evans, Andrew J.; Sangoi, Ankur R.; Mermel, Craig H., 0000-0002-0816-3395; Hipp, Jason D.; Stumpe, Martin C. Npj Digital Medicine 2019
15956 10.1053/j.gastro.2020.06.021 Clinical-Grade Detection Of Microsatellite Instability In Colorectal Tumors By Deep Learning Echle, Amelie; Grabsch, Heike Irmgard; Quirke, Philip; Van Den Brandt, Piet A.; West, Nicholas P.; Hutchins, Gordon G.A.; Heij, Lara R.; Tan, Xiuxiang; Richman, Susan D.; Krause, Jeremias; Alwers, Elizabeth; Jenniskens, Josien; Offermans, Kelly; Gray, Richard; Brenner, Hermann; Chang-Claude, Jenny; Trautwein, Christian; Pearson, Alexander T.; Boor, Peter; Luedde, Tom; Gaisa, Nadine Therese; Hoffmeister, Michael; Kather, Jakob Nikolas, 0000-0002-3730-5348 Gastroenterology 2020
20528 10.1371/journal.pmed.1002730 Predicting Survival From Colorectal Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study Kather, Jakob Nikolas, 0000-0002-3730-5348; Krisam, Johannes, 0000-0003-4092-7874; Charoentong, Pornpimol; Luedde, Tom; Herpel, Esther; Weis, Cleo-Aron, 0000-0002-1831-3406; Gaiser, Timo, 0000-0002-6022-073X; Marx, Alexander; Valous, Nektarios A., 0000-0002-4014-2404; Ferber, Dyke; Jansen, Lina, 0000-0001-8004-4940; Reyes-Aldasoro, Constantino Carlos, 0000-0002-9466-2018; Zornig, Inka; Jager, Dirk; Brenner, Hermann; Chang-Claude, Jenny, 0000-0001-8919-1971; Hoffmeister, Michael; Halama, Niels Plos Medicine 2019
21667 10.4103/jpi.jpi_82_18 Introduction To Digital Image Analysis In Whole-Slide Imaging: A White Paper From The Digital Pathology Association Aeffner, Famke; Zarella, Markd; Buchbinder, Nathan; Bui, Marilynm; Goodman, Matthewr; Hartman, Douglasj; Lujan, Giovannim; Molani, Mariama; Parwani, Anilv; Lillard, Kate; Turner, Oliverc; Vemuri, Venkatan P; Yuil-Valdes, Anag; Bowman, Douglas Journal Of Pathology Informatics 2019
21740 10.5858/arpa.2018-0343-ra A Practical Guide To Whole Slide Imaging: A White Paper From The Digital Pathology Association Zarella, Mark D.; Bowman;, Douglas; Aeffner, Famke; Farahani, Navid; Xthona;, Albert; Absar, Syeda Fatima; Parwani, Anil; Bui, Marilyn; Hartman, Douglas J. Archives Of Pathology & Laboratory Medicine 2018